<p>cytomapper: Visualization of highly multiplexed imaging cytometry data in R</p>

Nils Eling; Nicolas Damond; Tobias Hoch; Bernd Bodenmiller

doi:10.7490/f1000research.1118049.1

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Eling N, Damond N, Hoch T and Bodenmiller B. cytomapper: Visualization of highly multiplexed imaging cytometry data in R [version 1; not peer reviewed]. F1000Research 2020, 9:731 (poster) (https://doi.org/10.7490/f1000research.1118049.1)

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cytomapper: Visualization of highly multiplexed imaging cytometry data in R

Nils Eling¹, Nicolas Damond, Tobias Hoch, Bernd Bodenmiller

Published 20 Jul 2020 (https://doi.org/10.7490/f1000research.1118049.1)

Author Affiliations

¹ University of Zurich, Switzerland

Copyright © 2020 Eling N et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 20 Jul 2020

cytomapper: Visualization of highly multiplexed imaging cytometry data in R
[version 1; not peer reviewed]

Nils Eling¹, Nicolas Damond, Tobias Hoch, Bernd Bodenmiller

Author Affiliations

¹ University of Zurich, Switzerland

Presented at

Bioconductor Annual Conference 2020

Abstract

Competing Interests

No competing interests were disclosed

Keywords

multiplexed imaging, single-cell, expression, imaging mass cytometry, bioimaging

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